Taking snapshots of virtual machines (VMs) is one of the most effective techniques for preserving digital evidence in a cloud environment. Snapshots capture the entire state of a VM, including its memory, configuration, and disk contents at a particular point in time. This allows investigators to preserve evidence as it was at the moment of the incident, enabling detailed analysis without altering the original state of the system.
While isolating the compromised system is important to prevent further damage, snapshots are more directly useful for preserving evidence. Backing up data and analyzing management plane logs are also valuable for incident response, but they don't capture the complete state of a compromised system as effectively as snapshots do.

Data Security Posture Management (DSPM) tools are designed to help organizations visualize, monitor, and manage the security of their data in the cloud. These tools help ensure that data is properly classified, protected, and compliant with relevant regulations and standards. DSPM tools typically provide capabilities like identifying and managing sensitive data, assessing security risks, and ensuring data security posture is aligned with best practices.
The other options are not the primary focus of DSPM tools:
Firewall management relates to network security rather than data security.
User activity monitoring is more about identity and access management or security information and event management (SIEM).
Encryption is important for data protection but is not the primary function of DSPM, which focuses more on data visibility and management.

The CSA STAR Registry provides transparency by listing security and privacy controls of CSPs, helping customers assess provider security. Reference: [CCSK Overview, STAR Registry]

While AI improves threat detection, it also introduces risks as attackers can use it to develop advanced attack methods. Organizations must balance these risks. Reference: [CCSK Study Guide, Domain 12 - AI and Security]